As artificial intelligence reshapes how software is built and deployed, the security industry faces a new generation of threats: ones that move faster, think smarter, and exploit gaps legacy tools were never designed to address. Miggo Security, a Tel Aviv-based innovator, is tackling that problem head-on. The company has been named a Gartner® Cool Vendor in AI Security, a recognition that highlights Miggo’s role in redefining how enterprises protect applications in the AI era.
The New Reality of Application Security
For decades, security has revolved around defending perimeters and patching known vulnerabilities. But as applications become increasingly AI-driven and dynamic, that model is breaking down. Attacks now target how software behaves at runtime, where logic, data, and AI reasoning converge.
Gartner recently warned that “Through 2029, over 50% of successful cybersecurity attacks against AI agents will exploit access control issues, using direct or indirect prompt injection as an attack vector.” That’s a staggering prediction, one that underscores why runtime visibility and behavioral analysis are quickly becoming essential for defending modern applications.
Miggo Security’s answer to this challenge is its Application Detection & Response (ADR) platform, a technology designed to understand, prove, and shield application behavior in real time. By focusing on runtime defense instead of static scanning, Miggo provides security teams with a live view into how applications operate, detect anomalies, and respond automatically within minutes.
“Validating the Vision”
For Daniel Shechter, Miggo’s CEO and Co-Founder, Gartner’s recognition is a milestone that affirms the company’s direction. “This recognition by Gartner, in my opinion, validates the vision and innovation that define Miggo Security,” said Shechter. “We believe Application Detection & Response is the future of runtime security in the AI era to give CISOs and security teams the ability to know, prove, and shield AI-native threats in real time.”
Shechter’s statement captures the core of Miggo’s mission: to empower defenders with the same speed, intelligence, and adaptability that AI brings to attackers. In practice, that means enabling security teams to respond faster, with more context, and without disrupting critical operations.
Inside Miggo’s Technology Edge
Miggo’s technology stack blends deep observability, predictive analytics, and automation to address threats at the source. Its DeepTracing™ Technology monitors runtime activity to uncover AI-native threats, zero-day exploits, and attack patterns invisible to traditional tools. The AppDNA & Predictive Vulnerability Database leverages contextual intelligence to prioritize vulnerabilities, helping organizations cut their backlog by 99%.
For web-facing applications, the Miggo WAF Copilot can create custom protection rules in minutes, an important capability when threat actors shift tactics daily. With agentless integration, Miggo can deploy across environments, such as Kubernetes and distributed microservices, without the friction that slows most enterprise rollouts.
Together, these capabilities help detect risks and enable teams to move faster. Miggo claims its approach can reduce operational overhead by 30% or more while closing exposure windows that once lasted days down to mere minutes.
The Future of Runtime Defense
The AI boom has forced organizations to rethink nearly every aspect of their operations, and security is no exception. As businesses roll out AI assistants, generative systems, and decision engines, new risks will surface at every layer of the application stack. Miggo’s recognition by Gartner signals that the market is starting to embrace a more intelligent, behavior-driven model of defense, particularly one that doesn’t just observe the problem but actively adapts to it.
In an industry where speed is everything, Miggo Security is helping redefine what “fast” means and turning runtime visibility into real-time protection. After all, it’s essential for enterprises navigating the uncertain terrain of AI security.
